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2005 International Conference on Neural Networks and Brain(ICNN&B’05)

作者： Zhiyu Xiang Dept.of Information and Electronic Engineering Zhejiang University

ISBN: (纸本)0780394224;9780780394223

＜正＞Environmental perception is one of the most difficult problems on the research of off-road autonomous *** paper describes a multisensor data fusion based environmental’ perception system for off-road autonomous *** system is composed of one camera,four laser range finders, one microwave radar,and several ultrasonic sensors.A hierarchical structure is used to organize the sensors from feature level to high fusion level.A 2D fusion map consisting six classifications is proposed to describe the surrounding ***-Shafer evidence theory is adopted to decide the classification of each grid in the fusion map.A weighted evidence combination rule is proposed and implemented to improve the decision results under high conflicting *** experimental results show that the proposed system is reliable and is able to fulfill the requirements from off-road navigation.

关键词： Navigation Laser radar Remotely operated vehicles Mobile robots Cameras Laser fusion Laser theory Masers sensor systems Microwave sensors

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Developing a predictive maintenance model for vessel machinery

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Journal of Ocean Engineering and Science 2020年第4期5卷 358-386页

作者： Veronica Jaramillo Jimenez Noureddine Bouhmala Anne Haugen Gausdal Department of Maritime Operations University of South-Eastern Norway Kristiania University College

The aim of maintenance is to reduce the number of failures in equipment and to avoid breakdowns that may lead to disruptions during *** objective of this study is to initiate the development of a predictive maintenance solution in the shipping industry based on a computational artificial intelligence model using real-time monitoring *** data analysed originates from the historical values from sensors measuring the vessel´s engines and compressors health and the software used to analyse these data was *** results demonstrated key parameters held a stronger influence in the overall state of the components and proved in most cases strong correlations amongst sensor data from the same *** results also showed a great potential to serve as inputs for developing a predictive model,yet further elements including failure modes identification,detection of potential failures and asset criticality are some of the issues required to define prior designing the algorithms and a solution based on artificial intelligence.A systematic approach using big data and machine learning as techniques to create predictive maintenance strategies is already creating disruption within the shipping industry,and maritime organizations need to consider how to implement these new technologies into their business operations and to improve the speed and accuracy in their maintenance decision making.

关键词： Maintenance in Shipping industry Big Data Analytics Vessel Machinery sensor systems sensor Data Condition Based Maintenance Predictive Maintenance

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IC Innovations in Automotive

IC Innovations in Automotive

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2008 9th International Conference on Solid-State and Integrated-Circuit Technology

作者： René Penning de Vries SVP ＆ CTO NXP Semiconductors High Tech Campus 605656 AG EindhovenThe Netherlands

＜正＞The fierce competition in the car industry drives the evolution of cars in terms of performance and price more than ever. Continuous improvement of car comfort and performance,at competitive price levels,poses a wealth of innovation challenges to the manufacturers of the ICs that are omnipresent in today’s cars. Moreover,the growing awareness on sustainability drives semiconductor developments like power solutions and sensors for engine management,solid-state lighting, tire pressure monitoring and drive/steer-by-wire via In-Vehicle Networking,aimed at weight reduction.

关键词： [IEEE Keyword]Standards Anisotropic magnetoresistance Mechanical sensors Transceivers sensor systems Magnetic sensors sensors

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